OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges
Jianshi Tang, Fang Yuan, Xinke Shen, et al.
Advanced Materials (2019) Vol. 31, Iss. 49
Closed Access | Times Cited: 604

Showing 1-25 of 604 citing articles:

Two-dimensional materials for next-generation computing technologies
Chunsen Liu, Huawei Chen, Shuiyuan Wang, et al.
Nature Nanotechnology (2020) Vol. 15, Iss. 7, pp. 545-557
Closed Access | Times Cited: 767

Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing
Ya‐Nan Zhong, Jianshi Tang, Xinyi Li, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 371

Brain-inspired computing with memristors: Challenges in devices, circuits, and systems
Yang Zhang, Zhongrui Wang, Jiadi Zhu, et al.
Applied Physics Reviews (2020) Vol. 7, Iss. 1
Closed Access | Times Cited: 290

Semiconductor Quantum Dots for Memories and Neuromorphic Computing Systems
Ziyu Lv, Yan Wang, Jingrui Chen, et al.
Chemical Reviews (2020) Vol. 120, Iss. 9, pp. 3941-4006
Closed Access | Times Cited: 274

Emerging Memristive Artificial Synapses and Neurons for Energy‐Efficient Neuromorphic Computing
Sanghyeon Choi, Jehyeon Yang, Gunuk Wang
Advanced Materials (2020) Vol. 32, Iss. 51
Closed Access | Times Cited: 271

Neuromorphic Engineering: From Biological to Spike‐Based Hardware Nervous Systems
Jia‐Qin Yang, Ruopeng Wang, Yi Ren, et al.
Advanced Materials (2020) Vol. 32, Iss. 52
Closed Access | Times Cited: 254

Optoelectronic Synaptic Devices for Neuromorphic Computing
Yue Wang, Lei Yin, Wen Huang, et al.
Advanced Intelligent Systems (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 232

Power-efficient neural network with artificial dendrites
Xinyi Li, Jianshi Tang, Qingtian Zhang, et al.
Nature Nanotechnology (2020) Vol. 15, Iss. 9, pp. 776-782
Closed Access | Times Cited: 206

Bidirectional All‐Optical Synapses Based on a 2D Bi2O2Se/Graphene Hybrid Structure for Multifunctional Optoelectronics
Chia‐Ming Yang, Tsung‐Cheng Chen, Dharmendra Verma, et al.
Advanced Functional Materials (2020) Vol. 30, Iss. 30
Closed Access | Times Cited: 187

MXene‐ZnO Memristor for Multimodal In‐Sensor Computing
Yan Wang, Yue Gong, Lin Yang, et al.
Advanced Functional Materials (2021) Vol. 31, Iss. 21
Closed Access | Times Cited: 180

Memristive Artificial Synapses for Neuromorphic Computing
Wen Huang, Xuwen Xia, Chen Zhu, et al.
Nano-Micro Letters (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 171

Optically Stimulated Synaptic Devices Based on the Hybrid Structure of Silicon Nanomembrane and Perovskite
Lei Yin, Wen Huang, Rulei Xiao, et al.
Nano Letters (2020) Vol. 20, Iss. 5, pp. 3378-3387
Closed Access | Times Cited: 161

In-memory Learning with Analog Resistive Switching Memory: A Review and Perspective
Yue Xi, Bin Gao, Jianshi Tang, et al.
Proceedings of the IEEE (2020) Vol. 109, Iss. 1, pp. 14-42
Closed Access | Times Cited: 150

Recent Progress in Transistor‐Based Optoelectronic Synapses: From Neuromorphic Computing to Artificial Sensory System
Sung Woon Cho, Sung Min Kwon, Yong‐Hoon Kim, et al.
Advanced Intelligent Systems (2021) Vol. 3, Iss. 6
Open Access | Times Cited: 150

Hardware Implementation of Neuromorphic Computing Using Large‐Scale Memristor Crossbar Arrays
Yesheng Li, Kah‐Wee Ang
Advanced Intelligent Systems (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 148

Graphene memristive synapses for high precision neuromorphic computing
Thomas F. Schranghamer, Aaryan Oberoi, Saptarshi Das
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 143

A Review of Resistive Switching Devices: Performance Improvement, Characterization, and Applications
Tuo Shi, Rui Wang, Zuheng Wu, et al.
Small Structures (2021) Vol. 2, Iss. 4
Closed Access | Times Cited: 141

Neural signal analysis with memristor arrays towards high-efficiency brain–machine interfaces
Zhengwu Liu, Jianshi Tang, Bin Gao, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 139

Bioinspired Ionic Sensory Systems: The Successor of Electronics
Kai Xiao, Changjin Wan, Lei Jiang, et al.
Advanced Materials (2020) Vol. 32, Iss. 31
Open Access | Times Cited: 138

Artificial Neuron and Synapse Devices Based on 2D Materials
Geonyeop Lee, Ji‐Hwan Baek, F. Ren, et al.
Small (2021) Vol. 17, Iss. 20
Closed Access | Times Cited: 131

A Flexible Mott Synaptic Transistor for Nociceptor Simulation and Neuromorphic Computing
Xing Deng, Siqi Wang, Yu‐Xiang Liu, et al.
Advanced Functional Materials (2021) Vol. 31, Iss. 23
Closed Access | Times Cited: 119

Dual‐Modal Optoelectronic Synaptic Devices with Versatile Synaptic Plasticity
Yue Wang, Yiyue Zhu, Yayao Li, et al.
Advanced Functional Materials (2021) Vol. 32, Iss. 1
Closed Access | Times Cited: 119

Reconfigurable optoelectronic memristor for in-sensor computing applications
Tianyu Wang, Jialin Meng, Qingxuan Li, et al.
Nano Energy (2021) Vol. 89, pp. 106291-106291
Closed Access | Times Cited: 118

Application of an artificial neural network to optimise energy inputs: An energy- and cost-saving strategy for commercial poultry farms
Ehsan Elahi, Zhixin Zhang, Zainab Khalid, et al.
Energy (2022) Vol. 244, pp. 123169-123169
Closed Access | Times Cited: 118

Artificial multisensory integration nervous system with haptic and iconic perception behaviors
Xiaomin Wu, Enlong Li, Yaqian Liu, et al.
Nano Energy (2021) Vol. 85, pp. 106000-106000
Closed Access | Times Cited: 112

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